Global Patent Index - EP 4191526 A1

EP 4191526 A1 20230607 - APPARATUS AND METHOD WITH OBJECT POSTURE ESTIMATING

Title (en)

APPARATUS AND METHOD WITH OBJECT POSTURE ESTIMATING

Title (de)

VORRICHTUNG UND VERFAHREN MIT OBJEKTHALTUNGSSCHÄTZUNG

Title (fr)

APPAREIL ET PROCÉDÉ D'ESTIMATION DE POSTURE D'OBJET

Publication

EP 4191526 A1 20230607 (EN)

Application

EP 22208523 A 20221121

Priority

  • CN 202111460674 A 20211202
  • KR 20220129712 A 20221011

Abstract (en)

An apparatus and method of estimating an object posture are provided. A method includes determining key point information in an image to be processed, determining modified key point information based on a key point feature map corresponding to the key point information, and estimating an object posture of an object in the image to be processed, based on the modified key point information.

IPC 8 full level

G06T 7/70 (2017.01)

CPC (source: EP US)

G06T 7/70 (2016.12 - EP); G06T 7/74 (2016.12 - US); G06T 7/75 (2016.12 - US); G06T 11/00 (2013.01 - US); G06V 10/7715 (2022.01 - US); G06V 10/82 (2022.01 - US); G06T 2207/20081 (2013.01 - US); G06T 2207/20084 (2013.01 - EP US); G06V 10/25 (2022.01 - US)

Citation (search report)

  • [A] YUNZHI LIN ET AL: "Single-stage Keypoint-based Category-level Object Pose Estimation from an RGB Image", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 13 September 2021 (2021-09-13), XP091054042
  • [A] PAVLAKOS GEORGIOS ET AL: "6-DoF object pose from semantic keypoints", 2017 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), IEEE, 29 May 2017 (2017-05-29), pages 2011 - 2018, XP033126975, DOI: 10.1109/ICRA.2017.7989233
  • [A] LIU XUEBING ET AL: "A Pose Estimation Approach Based on Keypoints Detection for Robotic Bin-picking Application", 2021 CHINA AUTOMATION CONGRESS (CAC), IEEE, 22 October 2021 (2021-10-22), pages 3672 - 3677, XP034099832, DOI: 10.1109/CAC53003.2021.9727987
  • [A] KEHL WADIM ET AL: "Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose EstimationSimultaneous Localization and Mapping (3D laser and RGB-D cameras) View project Medical Augmented Reality for Minimally Invasive Surgery View project Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D", 1 July 2016 (2016-07-01), XP093039886, Retrieved from the Internet <URL:https://www.researchgate.net/profile/Wadim-Kehl-2/publication/305471420_Deep_Learning_of_Local_RGB-D_Patches_for_3D_Object_Detection_and_6D_Pose_Estimation/links/5792338008ae33e89f754dbb/Deep-Learning-of-Local-RGB-D-Patches-for-3D-Object-Detection-and-6D-Pose-Estimation.pdf> [retrieved on 20230418]
  • [A] ZHAOXIN FAN ET AL: "Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 29 May 2021 (2021-05-29), XP081971800

Designated contracting state (EPC)

AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC ME MK MT NL NO PL PT RO RS SE SI SK SM TR

Designated extension state (EPC)

BA

Designated validation state (EPC)

KH MA MD TN

DOCDB simple family (publication)

EP 4191526 A1 20230607; JP 2023082681 A 20230614; US 2023177722 A1 20230608

DOCDB simple family (application)

EP 22208523 A 20221121; JP 2022189728 A 20221129; US 202218072974 A 20221201